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question about specifications of evaluation #43
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Thanks for your using. |
"There is no concepts like R11 or R40 in Waymo. Different from the way in KITTI or COCO, Waymo uses score cutoff to sample data points on the PR curve. Specifically, Waymo samples a data point every 0.01 score from the PR curve (0.99, 0.98, ..., 0.01, 0). So it is more like a "R100" strategy. " --> Thank you for answer. BTW, which config did you use to get the results above? The results seem a little strange. --> I test "configs>sst>sst_waymoD1_2x_3class_8heads_1f" which little modify your "configs>sst>sst_waymoD1_2x_3class_8heads_3f". And could you tell me what's wrong with the above results? if you are weird about form, it copies from "onenote" which I clean up my results. So It could be a little different from console form. |
In your results, the performance of vehicle and pedestrian is a little bit lower (~1AP) while the cyclist has a higher number (~1AP). |
I want to check your code on the same setting in your paper, so I use the old version. But I agree with your advice. Next time I will use the latest version. Thanks. |
In fact, the code we used in our paper is not totally consistent with the code here. The performances are slightly different. For example, follow this repo, you may get 1 AP lower in Vehicle and 2 AP higher in Pedestrian. @seonhoon1002 |
So if you don't mind, could you tell me more detail about the differences between the code and your paper? @Abyssaledge |
I am going to update the old config in couple of days. |
I had an exciting time to travel your codes the last few weeks, and I finally got the below results.
but I have a question about Waymo evaluation code.
How could I check the configuration of these metrics such as "Does it use bev or 3D, does it use @11 or @40 for mAP"
Because in KITTI, there is an option for choosing 'bev' or '3D', but I can't find it in waymo, except "compute_detection_metrics_main" created by binary file.
Summary: How could I check configurations of metrics on Waymo evaluation.
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